iPad Pro 11-inch (M4)
Geekbench AI Score
4723
Single Precision Score
7873
Half Precision Score
6264
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Bormot |
| Upload Date | December 06 2024 10:46 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2000
371.9 IPS |
|
|
Image Classification (HP)
|
100% |
3322
617.8 IPS |
|
|
Image Classification (Q)
|
96% |
2310
431.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3323
53.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3648
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10068
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19081
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16438
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2206
175.0 IPS |
|
|
Object Detection (HP)
|
97% |
3776
300.6 IPS |
|
|
Object Detection (Q)
|
94% |
2690
214.4 IPS |
|
|
Face Detection (SP)
|
100% |
3944
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
7690
91.4 IPS |
|
|
Face Detection (Q)
|
100% |
4453
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8300
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14643
113.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10169
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25096
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37922
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31352
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5844
215.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6903
254.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4832
178.4 IPS |
|
|
Text Classification (SP)
|
100% |
3103
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5694
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5368
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3917
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6856
118.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6785
117.2 IPS |
